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Course Description
“The Complete Python Bootcamp: From Zero to Hero” is an immersive and comprehensive learning experience designed to take individuals with little to no programming experience and transform them into proficient Python developers. This bootcamp is meticulously crafted to cover everything from foundational concepts to advanced programming techniques.
Starting from ground zero, this course introduces learners to Python’s fundamental syntax, data types, control structures, and functions. It gradually progresses into more complex topics such as object-oriented programming, file handling, error handling, and data manipulation.
Throughout the bootcamp, participants engage in hands-on exercises and real-world projects that reinforce their understanding of Python concepts. These practical applications range from building simple scripts to creating sophisticated applications, empowering learners to develop their problem-solving and coding skills.
With a combination of video lectures, coding exercises, quizzes, and projects, this bootcamp offers a structured and interactive approach to learning Python. Students are guided by experienced instructors who provide clear explanations, practical examples, and tips to tackle challenges commonly encountered in Python programming.
By the end of “The Complete Python Bootcamp: From Zero to Hero,” participants emerge with a solid grasp of Python programming, equipped with the skills and confidence to tackle diverse coding projects and pursue further specialization in areas like web development, data analysis, machine learning, and more.
Curriculum
- 1 Section
- 68 Lessons
- 30 Days
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- Python Basics & Programming Foundations68
- 1.1Working with External Libraries
- 1.2requests, BeautifulSoup, pandas, matplotlib overview
- 1.3Intro to Web Development (Flask)
- 1.4Flask basics: routes, templates
- 1.5Create a simple Flask app
- 1.6Working with APIs
- 1.7Calling external APIs with requests
- 1.8JSON data parsing
- 1.9Final Project Planning
- 1.10Libraries, Projects & Advanced Concepts
- 1.11Introduction to Virtual Environments & pip
- 1.12venv, installing packages
- 1.13PyPI and pip
- 1.14Choose your project:
- 1.15Web App (Flask)
- 1.16Data Analysis (pandas)
- 1.17Modules & Packages
- 1.18Importing standard & custom modules
- 1.19Using math, random, datetime
- 1.20Object-Oriented Programming (Part 1)
- 1.21Classes and objects
- 1.22Attributes and methods
- 1.23OOP (Part 2)
- 1.24Inheritance, super(), polymorphism
- 1.25OOP Project: Bank Account System
- 1.26Decorators and Generators
- 1.27@decorator functions, yield
- 1.28Review & Challenge Problems
- 1.29Automation Script (web scraping)
- 1.30Final Project Build Days
- 1.31Sets and Dictionaries
- 1.32Tuple immutability
- 1.33Indexing, slicing, list methods
- 1.34Unique data with sets
- 1.35Key-value pairs with dictionaries
- 1.36Lists & Tuples
- 1.37Functions (Part 1)
- 1.38Defining functions, arguments
- 1.39Data Structures & Logic Building
- 1.40Weekly Review & Project: Build a Number Guessing Game
- 1.41Practical Exercise: Mini Calculator + Quiz
- 1.42Return values, scope
- 1.43Functions (Part 2)
- 1.44range(), break, continue
- 1.45Lambda functions
- 1.46*args and **kwargs
- 1.47while and for loops
- 1.48Loops
- 1.49if, elif, else, nested conditions
- 1.50Error Handling
- 1.51try, except, else, finally
- 1.52Conditional Statements
- 1.53Raising exceptions
- 1.54Practice Problems Day
- 1.55Arithmetic, comparison, logical operators
- 1.56Operators & Expressions
- 1.57Type casting, input()
- 1.58Mini Project: Build a Contact Book using Dictionaries
- 1.59Intermediate Python & Object-Oriented Programming
- 1.60Numbers, strings, booleans
- 1.61File Handling
- 1.62Installing Python, IDEs (VS Code, Jupyter)
- 1.63Variables and Data Types
- 1.64Hello World, print(), comments
- 1.65CSV files with csv module
- 1.66Reading/writing text files
- 1.67Project Submission + Final Quiz + Certification
- 1.68What is Python?